How to use from
Hermes AgentConfigure Hermes
# Install Hermes:
curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash
hermes setup# Point Hermes at the local server:
hermes config set model.provider custom
hermes config set model.base_url http://127.0.0.1:8080/v1
hermes config set model.default vanch007/Huihui-MiniCPM-V-4.6-abliterated-mlx-bf16Run Hermes
hermesQuick Links
Huihui-MiniCPM-V-4.6-abliterated-mlx-bf16
Converted from huihui-ai/Huihui-MiniCPM-V-4.6-abliterated
with mlx-vlm from the current main branch.
Conversion
- Source:
huihui-ai/Huihui-MiniCPM-V-4.6-abliterated - Format: MLX
- Quantization: bfloat16
- Processor files:
processor_config.json+preprocessor_config.json
Smoke test
- Prompt:
Describe this image in one sentence. - Image: 64x64 solid red PNG
- Result:
The image is a solid red color, with no discernible features or objects.
Usage
python -m mlx_vlm.generate --model vanch007/Huihui-MiniCPM-V-4.6-abliterated-mlx-bf16 --max-tokens 32 --temperature 0.0 --trust-remote-code --prompt "Describe this image in one sentence." --image <path_to_image>
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Model size
1B params
Tensor type
BF16
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Hardware compatibility
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Quantized
Model tree for vanch007/Huihui-MiniCPM-V-4.6-abliterated-mlx-bf16
Base model
openbmb/MiniCPM-V-4.6
Start the MLX server
# Install MLX LM: uv tool install mlx-lm# Start a local OpenAI-compatible server: mlx_lm.server --model "vanch007/Huihui-MiniCPM-V-4.6-abliterated-mlx-bf16"